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Mohamed Gaber is a distinguished academic and researcher, widely recognized for his significant contributions to the fields of Data Science, Artificial Intelligence, and Machine Learning. With a career spanning over two decades, he has been at the forefront of developing novel algorithms and applying AI techniques to solve complex real-world problems. His work often focuses on areas like data stream mining, anomaly detection, explainable AI, and distributed machine learning. As a professor, he is dedicated to mentoring the next generation of data scientists and engineers, and his research has been published in numerous high-impact journals and conferences. He is known for his innovative thinking and his ability to bridge the gap between theoretical research and practical applications, often collaborating with industry partners to drive innovation.
Mohamed Gaber's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Attained the rank of Full Professor, recognizing extensive contributions to research, teaching, and leadership in the field of Data Science and Artificial Intelligence. Currently holds the Chair of Data Science at Robert Gordon University.
Led influential research in data stream mining and concept drift, developing algorithms for real-time analysis of evolving data, with applications in areas such as fraud detection, healthcare, and sensor networks.
Authored and co-authored over 200 high-impact peer-reviewed articles in leading journals and conferences, significantly advancing knowledge in AI, machine learning, and data science.
Frequently invited as a keynote or distinguished speaker at numerous international conferences and workshops. Has also played key roles in organizing major academic conferences in his field.
Established and led successful research groups and labs focusing on cutting-edge AI and Data Science research, fostering collaborative environments and mentoring numerous PhD students and postdoctoral researchers.
Trinity College Dublin - Year 2017
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Velents is an AI-powered talent acquisition platform designed to help companies streamline and optimize their hiring processes. It offers a suite of tools for sourcing candidates, conducting AI-driven interviews, assessing skills, and managing the overall recruitment workflow, aiming to make hiring faster, more efficient, and less biased.
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